Safety professionals and practitioners are always searching for methods to accurately assess the association between exposures and possible occupational disorders or diseases and predict the outcome of any variable. Statistical analysis and logistic regression (LR) in particular are among the most popular tools being used today. Artificial neural network (ANN) models are another method of predi...

This paper explores the relationship between author-level bibliometric indicators and the researchers they “measure”, exemplified across five academic seniorities and four academic domains. Using cluster methodology, the disciplinary and seniority appropriateness of author-level indicators is examined. Publication and citation data for 741 researchers across Astronomy, Environmental Science, Ph...

The use of mobile wireless technologies brings associated paradoxes already identified in the literature. Thus, this research uses quantitative analysis to determine the perception of presence and intensity level of fourteen technological paradoxes related to the use of smartphone by professionals in Brazil. Besides, this study identifies the variables that impact the perception of each paradox...

This study examines the Behavior Based Safety (BBS) program of an oil production platform located off the coast of West Africa. The program has been in place at this 200-employee location since January 2002. All observation reports for 2003 were made available to explore relationships between behaviors recorded and incidence rates. A sample of 382 observation reports was selected from the 64,64...

Objectives: In analyses concerned with self-rated health it is common to dichotomise an ordinal-scale health measure and compare different subgroups of a population on basis of odds ratios from logistic regression models. Selfrated health is often explored also in wide age intervals. Since people’s health correlates strongly with their age, that approach is empirically problematic, particularly...

• Classified lesson plan quality using motivation, word count and sentiment analysis variables. Strongest classifiers were of field experience teaching coding task; task. According to ordinal logistic regression, performance goal orientation was a significant predictor front-end quality. Classifiers can be used flag preservice teachers for provision additional support before plans are created. ...

Background Stroke trial outcomes are usually classified in ordered functional categories, e.g. the modified Rankin Scale (mRS). Using a single cut-off to distinguish “good” and “poor” outcome is statistically inefficient and could miss effects in subgroups where few patients can be expected to achieve good outcome. “Ordinal shift analysis”, using ordinal logistic regression to estimate a common...